With the growth of information and its ever increasing number of patterns in archiving and storing, the need for systems that can automatically extract useful information is getting more prevalent. Most existing search engines are based on Keywords. The method of structuring and…
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This project concerns itself with improving occupational health, particularly by improving construction safety in places that are undergoing rapid urban growth. The developing regions with massive urban growth have safety regulations and institutions, yet in most cases they are …
Sentiment Analysis for Social Media
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Type: Book
The main archive of life sciences literature currently contains more than 18,000,000 references, and it is virtually impossible for any human to stay up-to-date with this large number of papers, even in a specific sub-domain. Not every fact that is reported in the literature is …
Cancer is a serious threat to human health and is now one of major causes of death worldwide. However, the complexity of the cancer makes the development of new and specific diagnostic tools particularly challenging. A number of different strategies have been developed for bioma…
There has been much hype in vocational and academic circles surrounding the emergence of web 2.0 or social media; however, relatively little work was dedicated to substantiating the actual concept of web 2.0. Many have dismissed it as not deserving of this new title, since the t…
In recent years knowledge has become an important resource to enhance the business and many activities are required to manage these knowledge resources well and help companies to remain competitive within industrial environments. The data available in most industrial setups is c…
Traditional treatment strategy development for diseases involves the identification of target proteins related to disease states, and the interference of these proteins with drug molecules. Computational drug discovery and virtual screening from thousands of chemical compounds h…
Probabilistic topic models are a class of statistical techniques that bring out the latent representation in the data. These models are able to find new data correlations in a low-dimensional topic space. Unigram based probabilistic parametric topic models assume that the order …
The Aviation Safety Reporting System collects voluntarily submitted reports on aviation safety incidents to facilitate research work aiming to reduce such incidents. To effectively reduce these incidents, it is vital to accurately identify why these incidents occurred. More prec…
Socio-technical networks are ubiquitous and impact society on many dimensions. As individuals become socialized into those networks, they alternately internalize network behavior or transform network behavior through their participation. Frequently the functioning of networks in…
Most text mining techniques have been proposed only for English text, and even here, most research has been conducted on specific texts related to special contexts within the English language, such as politics, medicine and crime. In contrast, although Arabic is a widely spoken …
Portfolio Investment has always been appealing to investors and researchers. In the past, people tend to use historical trading information of the securities to predict the return or manage the portfolio. Nowadays, the literature have been proved that the market sentiment could …
This research presented the deployment of data mining on social media and structured data in urban studies. We analyzed urban relocation, air quality and traffic parameters on multicity data as early work. We applied the data mining techniques of association rules, clustering an…
Within this new age of digital everything, scholarly work has been greatly changed due to information access, new media, and computational abilities that far exceed that of the human mind. This change in research and dissemination practices has impacted every field of study, but…
"The use of quantitative methods in the humanities and related social sciences has increased considerably in recent years, allowing researchers to discover patterns in a vast range of source materials. Despite this growth, there are few resources addressed to students and schola…
Introduces deep learning systems using the powerful Keras library and its R language interface. The book builds your understanding of deep learning through intuitive explanations and practical examples. -- Provided by publisher.
Introduces deep learning systems using the powerful Keras library and its R language interface. The book builds your understanding of deep learning through intuitive explanations and practical examples.
Introduces deep learning systems using the powerful Keras library and its R language interface. The book builds your understanding of deep learning through intuitive explanations and practical examples.
1. Introduction to Text Mining with Machine Learning -- 2. Introduction to R -- 3. Structured Text Representations -- 4. Classification -- 5. Bayes Classifier -- 6. Nearest Neighbors -- 7. Decision Trees -- 8. Random Forest -- 9. Adaboost -- 10. Support Vector Machines -- 11. De…